Review of numerical simulations for high-speed, turbulent cavity flows

High speed flows inside cavities are encountered in many aerospace applications including weapon bays of combat aircraft as well as landing gear. The flow field inside these cavities is associated with strong acoustic effects, unsteadiness and turbulence. With increasing emphasis on stealth operation of unmanned combat air vehicles and noise concerns near airports, cavity flows attracted the interest of many researchers in aerodynamics and aeroacoustics. Several attempts were made using wind tunnel experimentation and computational fluid dynamics analyses to understand the complex flow physics associated with cavity flows and alleviate their adverse effects via flow control. The problem proved to be complex, and current research revealed a very complex flow with several flow phenomena taking place. With the aid of experiments, CFD methods were validated and then used for simulations of several cavity configurations. The detached-eddy and large-eddy simulation methods proved invaluable for these studies and their application highlights the need for advanced turbulence simulation techniques in aerospace. The success of these methods and a summary of the current status of the experimental and computational progress over the past twenty years is summarised in this paper.     

C/SiC复合材料的制备及加工技术研究进展

碳纤维增强碳化硅陶瓷基(C/SiC)复合材料由于其强度高、硬度大、耐磨损,被广泛应用于工业、航空航天等领域,然而C/SiC复合材料难以被稳定地去除加工。本文综述C/SiC复合材料的常见制备方式及其材料的性能特点。概述C/SiC复合材料的传统机械加工、超声辅助加工、激光加工等加工方法,分析了各种加工方法的材料去除机理、加工精度、常见缺陷及加工过程中存在的问题。传统的机械加工需进一步优选切削刀具材料;超声辅助加工需探究超声振动的刀具与材料之间的耦合作用机制、振动作用下的材料去除机理;激光加工要进一步研究2.5维及3维C/SiC复合材料的激光加工去除机理。在这些研究的基础上进一步采用复合加工的方法,探寻C/SiC复合材料高效、精密、稳定和无损加工的可能性。     

GNSS/INS深组合技术研究进展与展望

在GNSS/INS组合导航领域,深组合是最深层次的组合方式,随着航空、航天、军事等应用对导航系统性能要求的提升,深组合技术逐步成为国内外研究的重点。通过对GNSS/INS深组合的技术起源与结构发展过程的梳理,总结出当前对深组合概念理解的两种立场。按照接收机环路跟踪结构与信息处理方式不同,将深组合结构分为标量深组合、相干矢量深组合以及非相干矢量深组合3种类型,其中相干矢量深组合又可以分为级联式和集中式两种结构。综述了国内外深组合技术的研究现状并指出了当前研究中存在的问题,最后结合实际应用需求对深组合的发展进行了展望。     

工程数值优化方法研究进展

回顾与分析了工程数值优化方法研究的发展历程 ,着重介绍与讨论了优化问题的几种数学列式、近似问题的保真度与近似函数 ,以及复杂优化问题的求解策略等。指出优化问题的对偶列式变式 DFOP-V2与高精度多点近似函数和二级近似概念结合而产生的数值优化解法 ,具有通用性 ,高的计算效率 ,并易于与市场现有分析软件结合使用等显著优点     

High-order methods for the Euler and Navier–Stokes equations on unstructured grids

This article reviews several unstructured grid-based high-order methods for the compressible Euler and Navier–Stokes equations. We treat the spatial and temporal discretizations separately, hoping that it is easier to spot the similarities and differences of various types of methods. Our main focus is to present the basic design principles of each method, and highlight its pros and cons when appropriate. Sample computational results are shown to illustrate the capability of selected methods. These high-order methods are expected to be more efficient than low-order methods for problems requiring high accuracy, such as wave propagation problems, vortex-dominated flows including high-lift configuration, helicopter blade vortex interaction, as well as large eddy simulation and direct numerical simulation of turbulence. We conclude the paper with several current challenges in the proliferation of high-order methods in the aerospace community.     

High-order accurate,low numerical diffusion methods for aerodynamics

In recent years numerical methods have been widely used to effectively resolve complex flow features of aerodynamics flows with meshes that are reasonable for today's computers. High-order numerical methods were used mainly in direct numerical simulations and aeroacoustics. For many aeronautical applications, accurate computation of vortex-dominated flows is important because the vorticity in the flow field and the wake of swept wings at an incidence and rotor blades largely determines the distribution of loading. The main deficiency of widely available, second-order accurate methods for the accurate computation of these flows is the numerical diffusion of vorticity to unacceptable levels. Application of high-order accurate, low-diffusion numerical methods can significantly alleviate this deficiency of traditional second order methods. Furthermore, higher-order space discretizations have the potential to improve detached eddy simulation predictions of separated flows with significant unsteadiness. Recently developed high-order accurate finite-difference, finite-volume, and finite-element methods are reviewed. These methods can be used as an attractive alternative of traditional low-order central and upwind computational fluid dynamics methods for improved predictions of vortical and other complex, separated, unsteady flows. The main features of these methods are summarized, from a practical user's point of view, their applicability and relative strength is indicated, and examples from recent applications are presented to illustrate their performance on selected problems.     

Fourier methods for turbomachinery applications

Rapid increase in computing power has made a huge difference in scales and complexities of the problems in turbomachinery that we can tackle by use of computational fluid dynamics (CFD). It is recognised, however, that there is always a need for developing efficient methods for applications to blade designs. In a design cycle, a large number of flow solutions are sought to interact iteratively or concurrently with various options, opportunities and constraints from other disciplines. This basic requirement for fast prediction methods in a multi-disciplinary design environment remains unchanged, regardless of computer speed. And it must be recognised that the multi-disciplinary nature of blading design increasingly influences outcomes of advanced gas turbine and aeroengine developments. Recently there has been considerable progress in the Fourier harmonic modelling method development for turbomachinery applications. The main driver is to develop efficient and accurate computational methodologies and working methods for prediction and analysis of unsteady effects on aerothermal performance (loading and efficiency) and aeroelasticity (blade vibration due to flutter and forced response) in turbomachinery. In this article, the developments and applications of this type of methods in the past 20 years or so are reviewed. The basic modelling assumptions and various forms of implementations for the temporal Fourier modelling approach are presented and discussed. Computational examples for realistic turbomachinery configurations/flow conditions are given to illustrate the validity and effectiveness of the approach. Although the major development has been in the temporal Fourier harmonic modelling, some recent progress in use of the spatial Fourier modelling is also described with demonstration examples.     

Synthesis of binary sequences with good autocorrelation andcrosscorrelation properties by simulated annealing

Simulated annealing is a statistical computational technique for obtaining approximate solutions to combinatorial optimization problems. An efficient simulated annealing algorithm is used to design binary sequence sets which have good autocorrelation and crosscorrelation properties. Some of the synthesized results are presented, and their properties are better than any other known in the literature. The synthesized binary sequence sets promise to be practically applicable     

面向控制的高超声速飞行器总体优化设计方法

从前期高超声速飞行器基础理论以及关键技术的研究到现今的飞行试验可以看出,高超声速飞行器在总体设计阶段过晚考虑飞行器动力学特性和控制性能会给后期控制系统设计带来极大的困难。在对两类高超声速飞行器试飞与控制相关问题分析的基础上,提出了面向控制的高超声速飞行器总体优化设计方法,给出了面向控制的总体优化设计研究方法、思路和模块框架。     

基于非结构动网格的非定常流数值模拟方法

给出了基于非结构动网格的非定常流动问题的数值模拟方法,重点说明两种动态非结构网格方法的原理以及在非定常流模拟中的算法.一种是基于非结构网格的重叠网格方法,该方法结合了非结构网格方法和重叠网格方法的优点,以物面距为准则参数对网格节点进行分类,进而建立重叠网格的网格问插值关系,通过采用动态非结构重叠网格算法,可以处理多体间...     

燃烧多相流的介尺度动理学建模研究进展

基于求解Navier-Stokes方程组的传统计算流体力学已经在诸多领域取得了巨大的成功,但在航空、航天、微流控等领域也遇到了新的瓶颈与挑战。其原因分为2个方面：①物理建模层面的问题;②离散格式带来的数值精度和稳定性问题。微尺度燃烧等一系列燃烧新概念的研究表明,特征更加丰富但以前知之甚少的热力学非平衡行为蕴含着大量待开发的物理功能。物理模型合理和具备相应功能是数值仿真研究的前提;物理建模层面的问题无法通过数值精度的提高来解决。本文从物理建模与复杂物理场分析角度,介绍了非平衡燃烧系统离散玻尔兹曼建模方法（DBM）的研究进展。DBM是非平衡统计物理学粗粒化建模理论在流体力学领域的具体应用之一,是相空间描述方法在离散玻尔兹曼方程形式下的进一步发展。它选取一个视角,研究系统的一组动理学性质,因而要求描述这组性质的动理学矩在模型简化中保值;以该组动理学矩的独立分量为基,构建相空间,使用该相空间和其子空间来描述系统的非平衡行为特征;研究视角和建模精度随着研究推进而调整。借助DBM可以研究反应过程中不同自由度内能之间的不平衡和相互转换等Navier-Stokes模型无法模拟的动理学过程。在内爆和外爆过程中,几何汇聚与发散效应等效于一个"外场力",在球心处系统始终处于热力学平衡态;在冯·纽曼压强峰处,系统不是偏离平衡最远,而是在平衡态附近;在冯·纽曼峰后反应区以外,Chapmann-Jouguet理论值、Zeldovich-Neumann-Doering （ZND）理论值和DBM结果相互验证;在反应区内DBM结果与ZND结果一致;在冯·纽曼压强峰前的压缩阶段,DBM模拟结果在物理上更合理。在冲击压缩过程中,相对于其他自由度,压缩波所在自由度上的内能先增加,因而这一自由度上的内能总是朝着正向偏离其平衡态值,而横向自由度上的内能总是朝着逆向偏离其平衡态值。在二流体模型视角下,反应物和产物朝着相反的方向偏离热力学平衡态。     

Review of shock wave detection method in CFD post-processing

In the present computational fluid dynamics (CFD) community, post-processing is regarded as a procedure to view parameter distribution, detect characteristic structure and reveal physical mechanism of fluid flow based on computational or experimental results. Field plots by contours, iso-surfaces, streamlines, vectors and others are traditional post-processing techniques. While the shock wave, as one important and critical flow structure in many aerodynamic problems, can hardly be detected or distinguished in a direct way using these traditional methods, due to possible confusions with other similar discontinuous flow structures like slip line, contact discontinuity, etc. Therefore, method for automatic detection of shock wave in post-processing is of great importance for both academic research and engineering applications. In this paper, the current status of methodologies developed for shock wave detection and implementations in post-processing platform are reviewed, as well as discussions on advantages and limitations of the existing methods and proposals for further studies of shock wave detection method. We also develop an advanced post-processing software, with improved shock detection.     

航空经济学及面向价值的飞机设计理论与实践

全球化的市场竞争是商用飞机产业的重要特征之一,对安全性、舒适性、经济性和环保性指标的不断追求推动着技术的不断进步及产业链的全球化发展。在飞机设计中,对经济性的考虑在航空技术和型号发展中的作用越来越突出,也是中国航空产业发展面临的重大挑战因素之一。在新技术研发决策及其在型号中的应用中,经济性考虑始终是决策的关键因素,本文综述航了空经济学的研究范畴和主要分析方法,及其对飞机概念设计、结构设计和系统选择等主要决策的影响,面向价值的设计理论和方法在飞机设计中的实践。希望本文的发表可以促进航空经济学的发展,相关方法可以在型号设计的最优综合评价中发挥作用,实现涵盖时间成本在内的综合评价指标最优的方案。可以预期,航空经济学的发展有助于提升中国航空制造业在竞争越来越激烈的全球航空产业链中的竞争力。     

MLP高阶重构格式应用

在有限体积框架下,利用MLP(multi-dimensional limiting process)系列重构格式结合HLLHLLC(Harten-Lax-van Leer with contact)近似黎曼求解器,同时引入激波探测函数进一步降低MLP在光滑流动区域的数值耗散,数值模拟了超声速前台阶流动、结冰翼型的非定常流动、高超声速双楔流动和DLR F6-WB跨声速流场,研究了MLP系列格式在可压缩复杂流场中的表现.结果表明:在多维空间中,MLP格式能够在如强斜激波与网格线不重合等复杂流场数值模拟中保持严格的流场单调性;具有和传统MUSCL(monotone upstream-centered schemes for conservation laws)格式类似的计算效率,可以实现5阶,甚至更高阶重构;数值耗散更低,捕获更准确的激波位置,对航空工程数值模拟具有重要意义.     

Review of uncertainty-based multidisciplinary design optimization methods for aerospace vehicles

This paper presents a comprehensive review of Uncertainty-Based Multidisciplinary Design Optimization (UMDO) theory and the state of the art in UMDO methods for aerospace vehicles. UMDO has been widely acknowledged as an advanced methodology to address competing objectives of aerospace vehicle design, such as performance, cost, reliability and robustness. However the major challenges of UMDO, namely the computational complexity and organizational complexity caused by both time-consuming disciplinary analysis models and UMDO algorithms, still greatly hamper its application in aerospace engineering. In recent years there is a surge of research in this field aiming at solving these problems. The purpose of this paper is to review these existing approaches systematically, highlight research challenges and opportunities, and help guide future efforts. Firstly, the UMDO theory preliminaries are introduced to clarify the basic UMDO concepts and mathematical formulations, as well as provide a panoramic view of the general UMDO solving process. Then following the UMDO solving process, research progress of each key step is separately surveyed and discussed, specifically including uncertainty modeling, uncertainty propagation and analysis, optimization under uncertainty, and UMDO procedure. Finally some conclusions are given, and future research trends and prospects are discussed.     

Computational intelligence and soft computing for spaceapplications

Systems using computational intelligence and soft computing have been successfully developed for many industrial and space applications. These systems seek to emulate the type of reasoning that humans perform when solving complex tasks. The field of soft computing, as defined by Zadeh-the inventor of fuzzy logic-encompasses fuzzy logic as well as other methodologies such as neural networks, genetic algorithms, and uncertainty management. It is expected that soft-computing techniques will eventually become as common and prevalent as traditional methods of computer science. This paper presents an overview of applications of fuzzy logic and soft computing to space projects. The role of fuzzy systems that can learn from experience to improve their performance is discussed. We present a report on applications of these adaptive systems to NASA space projects such as the orbital operations of the Space Shuttle, which include attitude control and rendezvous/docking operations. We also provide insights on the future of computational intelligence and soft computing and of their vast potential in industrial applications     

Estimation of Rodrigues parameters from vector observations

A recursive minimum variance algorithm for attitude determination is presented. The attitude is expressed by the Rodrigues vector, where only three parameters are needed to describe orientation. The advantage of using the Rodrigues parameters is computational. Attitude calculations involve only relatively simple algebraic expressions, which is advantageous especially in real-time applications. The efficiency of the derived algorithm is demonstrated using Monte-Carlo computer simulation results and in an initial alignment aerospace application     

蜂窝夹芯旋转壳的屈曲分析

蜂窝夹芯复合材料旋转壳是航天器中的重要部件,且常常与其它部件互相联结,联结区局部高应力往往诱发复杂的局部屈曲模态,为此发展了一套有限元求解方案。针对蜂窝夹芯层合壳体构造了一种基于相对自由度技术的32节点三层壳元,这种单元避免了传统壳元的转动自由度,易与三维实体单元连接,使变厚度、带有补强的复合材料层合壳体等复杂结构得以正确建模。同时运用旋转周期结构有限元技术对大规模的空间蜂窝夹芯层合结构成功实施了屈曲分析。数值算例表明了计算策略的有效性和优越性。     

Dynamic compensator design in nonlinear aerospace systems

Based on differential algebraic results, dynamic controllers are proposed for the feedback regulation of typical aerospace systems. Fliess's generalized observability canonical form (GOCF) is used for specifying a dynamic compensator that smoothly regulates the plant dynamics. The synthesis approach used is also applicable to the design of nonlinear pulsewidth-modulation (PWM) controllers, as well as to sliding-mode control strategies. The three underlying nonlinear control techniques, explored with the aid of illustrative examples, are commonly encountered in aerospace control system design problems. Simulations are also included     

ABCLS method for high-reliability aerospace mechanism with truncated random uncertainties

The random variables are always truncated in aerospace engineering and the truncated distribution is more feasible and effective for the random variables due to the limited samples available.For high-reliability aerospace mechanism with truncated random variables, a method based on artificial bee colony(ABC) algorithm and line sampling(LS) is proposed.The artificial bee colony-based line sampling(ABCLS) method presents a multi-constrained optimization model to solve the potential non-convergence problem when calculating design point(is also as most probable point, MPP) of performance function with truncated variables; by implementing ABC algorithm to search for MPP in the standard normal space, the optimization efficiency and global searching ability are increased with this method dramatically.When calculating the reliability of aerospace mechanism with too small failure probability, the Monte Carlo simulation method needs too large sample size.The ABCLS method could overcome this drawback.For reliability problems with implicit functions, this paper combines the ABCLS with Kriging response surface method,therefore could alleviate computational burden of calculating the reliability of complex aerospace mechanism.A numerical example and an engineering example are carried out to verify this method and prove the applicability.